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Amazon SageMaker Pipelines now supports callback capability

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Amazon SageMaker Pipelines, the first purpose-built continuous integration and continuous delivery (CI/CD) service for machine learning (ML), now supports a new callback step that allows customers to integrate any task or job outside Amazon SageMaker as a step in the model building pipeline. When a callback step is invoked, the current execution of a SageMaker model building pipeline will pause and wait for an external task or job to return a task token that was generated by SageMaker at the start of call back step execution. You can use the call back step to include processing jobs external to SageMaker such a Spark job running on an Amazon EMR cluster or an extract-transform-load (ETL) task in AWS Glue as part of the SageMaker model building pipeline.

Read multiple records simultaneously from Amazon SageMaker Feature Store using the new BatchGetRecord API

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Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, update, retrieve, and share machine learning (ML) features. Customers can retrieve features from SageMaker Feature Store at low millisecond latencies for real-time use-cases using the GetRecord API. This API allows customers to retrieve features from a single feature group and access one record per API call. Until now, to read multiple records at a time from SageMaker Feature Store, customers needed to call the GetRecord API multiple times and manage parallelization of the API calls to achieve lower latency, which increased operational complexity.

Amazon Cognito now supports targeted sign out through refresh token revocation

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By default, Amazon Cognito refresh tokens expire 30 days after a user signs in to a user pool. When you create an app, you can set the app’s refresh token expiration to any value between 60 minutes and 10 years. Amazon Cognito now enables you to revoke refresh tokens in real time so that those refresh tokens cannot be used to generate additional access tokens.

AWS Managed Microsoft Active Directory (AD) and AD Connector now support AD authentication with AWS Transfer Family

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AWS Directory Service for Microsoft Active Directory, also known as AWS Managed Microsoft AD, and AD Connector now enable you to use AD authentication with AWS Transfer Family, a fully managed service for transferring files over Secure File Transfer Protocol (SFTP), File Transfer Protocol over SSL (FTPS), and File Transfer Protocol (FTP) for Amazon Simple Storage Service (S3) and Amazon Elastic File System (EFS). This makes it easy for you to securely provide permissions for file transfers to users in your AD groups.

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